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accession-icon GSE64456
Defining RNA Transcriptional Biosignatures to Distinguish Febrile Infants 60 Days of Age and Younger with Bacterial vs Non-Bacterial Infections
  • organism-icon Homo sapiens
  • sample-icon 298 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

The use of microbiological cultures for diagnosing bacterial infections in young febrile infants have substantial limitations, including false positive and false negative cultures, and non-ideal turn-around times. Analysis of host genomic expression patterns (RNA biosignatures) in response to the presence of specific pathogens, however, may provide an alternate and potentially improved diagnostic approach. This study was designed to define bacterial and non-bacterial RNA biosignatures to distinguish these infections in young febrile infants.

Publication Title

Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger.

Sample Metadata Fields

Sex, Age, Specimen part, Race

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accession-icon GSE73464
Diagnosis of Kawasaki Disease in children using host RNA expression
  • organism-icon Homo sapiens
  • sample-icon 839 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

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accession-icon GSE73461
Diagnosis of Kawasaki Disease in children using host RNA expression [Discovery_Dataset]
  • organism-icon Homo sapiens
  • sample-icon 459 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

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accession-icon GSE73463
Diagnosis of Kawasaki Disease in children using host RNA expression [Validation_HT12V4_Dataset]
  • organism-icon Homo sapiens
  • sample-icon 233 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Illumina HumanHT-12 V4.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE73462
Diagnosis of Kawasaki Disease in children using host RNA expression [Validation_HT12V3_Dataset]
  • organism-icon Homo sapiens
  • sample-icon 147 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Genome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.

Publication Title

Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.

Sample Metadata Fields

Sex

View Samples
accession-icon GSE89997
Expression data from 2 cohorts of human pancreatic ductal adenocarcinoma (PDAC) tumors
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

In this dataset, we included expression data obtained from 30 resected human PDAC tumors, to examine what genes are differentially expressed in different cohorts that might lead to various outcomes

Publication Title

Identification of unique neoantigen qualities in long-term survivors of pancreatic cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE107865
PBMC gene expression from Crohn's disease patients before Infliximab therapy.
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Clariom S Human array (clariomshuman)

Description

About 40% IBD patients treated with anti-TNF antibodies do not respond to therapy. Baseline biomarkers of response are therefore of interest. By combining computational deconvolution of gene expression and meta-analysis approaches we identified cellular biomarkers in tissue (validated in 2 cohorts by IHC of biopsies), and investigated associated gene biomarkers in blood. This dataset provides data from the validation cohort III (blood).

Publication Title

Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD.

Sample Metadata Fields

Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE108113
Shared molecular targets in the glomerular and tubulointerstitial transcriptomes from patients with nephrotic syndrome and ANCA-associated vasculitis
  • organism-icon Homo sapiens
  • sample-icon 275 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and GSE104066. Corresponding glomerular transcriptome data can be found under GEO ID: GSE108109.

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE104948
Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors
  • organism-icon Homo sapiens
  • sample-icon 196 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

summary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE104954
Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies.
  • organism-icon Homo sapiens
  • sample-icon 194 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

summary : Tubulointerstitial transcriptome from ERCB subjects with chronic kidney disease and living donor biopsies. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47184 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part, Disease

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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